HandyLabel enables real-time data annotation by mapping hand gestures to labels, with ResNet50 on skeleton-preprocessed HaGRID data reaching 0.923 F1-score and 88.9% of 46 study participants preferring it to traditional post-processing tools.
Real-time attention-based embedded lstm for dynamic sign language recognition on edge devices.Journal of Real-Time Image Processing, 21(2):53
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
cs.HC 1years
2025 1verdicts
UNVERDICTED 1representative citing papers
citing papers explorer
-
HandyLabel: Towards Post-Processing to Real-Time Annotation Using Skeleton Based Hand Gesture Recognition
HandyLabel enables real-time data annotation by mapping hand gestures to labels, with ResNet50 on skeleton-preprocessed HaGRID data reaching 0.923 F1-score and 88.9% of 46 study participants preferring it to traditional post-processing tools.